PhD Student Position in Geometric Deep Learning
1 month ago
Are you passionate about advancing the boundaries of machine learning and computer vision? We invite you to contribute to groundbreaking research in 3D scene analysis and generative diffusion models as a PhD student in our Computer Vision Group.
Project Overview
This PhD position offers a unique opportunity to delve into the area of geometric deep learning within the broader landscape of machine learning and 3D computer vision. As a candidate, you'll have the chance to develop theoretical concepts and innovative methodologies while contributing to real-world imaging applications. You will be part of a diverse, collaborative, and supportive environment, recognized internationally for its research excellence.
Research Focus
The PhD project centers on understanding and improving deep learning methods for 3D scene analysis and 3D generative diffusion models. We aim to explore new ways of encoding symmetries in deep learning models to scale up computations, a necessity for realizing truly 3D generative models for general scenes. We also aim to explore the application of these models in key problems involving novel view synthesis and self-supervised learning.
Research Group
Our research group conducts research in the field of automatic image interpretation and perceptual scene understanding. We target both medical applications, such as the development of new and more effective methods and systems for analysis, support, and diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure-from-motion, and object recognition. Our main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as well as application to medical problems.
Key Responsibilities
Your key responsibilities include pursuing your own doctoral studies, developing your own scientific concepts, and communicating the results of your research verbally and in writing, both in Swedish and in English. The position also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours.
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Scientist Position in Geometric Deep Learning
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